Browsing Artículos (Instituto de Matemáticas de la Universidad de Sevilla (Antonio de Castro Brzezicki)) by Author 

Browsing Artículos (Instituto de Matemáticas de la Universidad de Sevilla (Antonio de Castro Brzezicki)) by Author "Blanquero Bravo, Rafael"                

Now showing items 1-11 of 11

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      A cost-sensitive constrained Lasso 

      Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa; Sillero Denamiel, María Remedios (Springer, 2020-03-02)
      The Lasso has become a benchmark data analysis procedure, and numerous variants have been proposed in the literature. ...
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      A global optimization method for model selection in chemical reactions networks 

      Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Jiménez Cordero, María Asunción; Rodríguez, José Francisco (PERGAMON-ELSEVIER SCIENCE LTD, 2016-06-07)
      Model inference is a challenging problem in the analysis of chemical reactions networks. In order to empirically test ...
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      Cost-sensitive feature selection for support vector machines 

      Benítez Peña, Sandra; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa (Elsevier, 2018-03)
      Feature Selection (FS) is a crucial procedure in Data Science tasks such as Classification, since it identifies the ...
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      Functional-bandwidth kernel for Support Vector Machine with Functional Data_An alternating optimization algorithm 

      Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Jiménez Cordero, María Asunción; Martín Barragán, Belén (ELSEVIER SCIENCE BV, 2018-11-24)
      Functional Data Analysis (FDA) is devoted to the study of data which are functions. Support Vector Ma- chine (SVM) is a ...
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      On Extreme Concentrations in Chemical Reaction Networks with Incomplete Measurements 

      Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Chis, Oana; Esteban, Noemí; Jiménez Cordero, María Asunción; Rodríguez, José Francisco; Sillero Denamiel, María Remedios (ACS, 2016-11-09)
      A fundamental problem in the analysis of chemical reactions networks consists of identifying concentration values along ...
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      On minimax-regret Huff location models 

      Bello Garboza, Lenys; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José (Elsevier, 2011-01)
      We address the following single-facility location problem: a firm is entering into a market by locating one facility in a ...
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      On sparse optimal regression trees 

      Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Molero del Río, María Cristina; Romero Morales, María Dolores (Elsevier, 2021-12-18)
      In this paper, we model an optimal regression tree through a continuous optimization problem, where a compromise between ...
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      On support vector machines under a multiple-cost scenario 

      Benítez Peña, Sandra; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa (Springer, 2018-07-31)
      Support vector machine (SVM) is a powerful tool in binary classification, known to attain excellent misclassification ...
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      Selection of time instants and intervals with Support Vector Regression for multivariate functional data 

      Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Jiménez Cordero, María Asunción; Martín Barragán, Belén (PERGAMON-ELSEVIER SCIENCE LTD, 2020-07-19)
      When continuously monitoring processes over time, data is collected along a whole period, from which only certain time ...
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      Sparsity in optimal randomized classification trees 

      Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Molero Río, Cristina; Romero Morales, María Dolores (ELSEVIER SCIENCE BV, 2019-12-16)
      Decision trees are popular Classification and Regression tools and, when small-sized, easy to interpret. Traditionally, a ...
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      Variable selection in classification for multivariate functional data 

      Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Jiménez Cordero, María Asunción; Martín Barragán, Belén (ELSEVIER SCIENCE INC, 2019-05-01)
      When classification methods are applied to high-dimensional data, selecting a subset of the predictors may lead to an ...